University of Bristol - School of Physiology, Pharmacology and Neuroscience · 4 hours ago
AI Supercomputing Infrastructure Engineer (up to x2 FTE)
Bristol, CT
Full-time
Hybrid
Mid Level
£50K/yr - £58K/yrThe University of Bristol's School of Physiology, Pharmacology and Neuroscience is seeking an AI Supercomputing Infrastructure Engineer to join the Bristol Centre for Supercomputing. This role involves building and operating large-scale supercomputing services and collaborating with researchers to develop innovative algorithms and software for cutting-edge research.
Higher Education
Responsibilities
Use tools such as Python, Rust, Terraform / OpenTofu, Kubernetes, Git and Bash
Design and operate large, highly available supercomputing services managed as software-defined infrastructures, and integrated as complete computational experiments
You will experience designing and operating massive-scale GPU and combined CPU/GPU workloads across these services
You will design and debug platforms, and will work closely with researchers as you co-design solutions that will enable the development and operation of new algorithms and software to solve leading-edge research problems
Qualification
Required
Domain expertise in 1 or more areas from NetOps and DevOps
Degree (or equivalent practical experience) in computer science, computational or ML/AI research or in a natural science with a high degree of competence in computer science or computational research
Good organisational skills to manage not just your own workload but also that of less experienced members of the team
Company
University of Bristol - School of Physiology, Pharmacology and Neuroscience
Research within the School of Physiology, Pharmacology and Neuroscience is conducted across Neuroscience, Cardiovascular and Cell Signalling.
Founded in 1876
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase